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Important
This feature is in Public Preview.
Parses the input BINARY or string value and returns the corresponding Geography value. None is returned if the input is invalid.
For the corresponding Databricks SQL function, see try_to_geography function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.try_to_geography(col=<col>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or str |
A string value in WKT or GeoJSON format, or a BINARY value in WKB format representing a Geography value. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT Z (3 4 5)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.try_to_geography('wkt')).alias('result')).collect()
[Row(result='SRID=4326;POINT Z (3 4 5)')]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('{"type":"MultiPoint","coordinates":[[3,4,5]]}',)], ['geojson'])
df.select(dbf.st_asewkt(dbf.try_to_geography('geojson')).alias('result')).collect()
[Row(result='SRID=4326;MULTIPOINT Z ((3 4 5))')]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01ef0300000100000001e9030000000000000000084000000000000010400000000000001440'),)], ['wkb'])
df.select(dbf.st_asewkt(dbf.try_to_geography('wkb')).alias('result')).collect()
[Row(result='SRID=4326;GEOMETRYCOLLECTION Z (POINT Z (3 4 5))')]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('invalid wkt',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.try_to_geography('wkt')).alias('result')).collect()
[Row(result=None)]